Proceedings of the Second Seattle Symposium in Biostatistics: Analysis of Correlated Data

This volume contains a selection of papers presented at the Second Seattle Symposium in Biostatistics: Analysis of Correlated Data. The symposium was held in 2000 to celebrate the 30th anniversary of the University of Washington School of Public Health and Community Medicine. It featured keynote lec...

Full description

Saved in:
Bibliographic Details
Other Authors: Lin, Danyu (Editor) , Heagerty, P. J. (Editor)
Format: Conference Paper
Language:English
Published: New York, NY Springer 2004
Series:Lecture Notes in Statistics 179
SpringerLink Bücher
Springer eBook Collection Mathematics and Statistics
Volumes / Articles: Show Volumes / Articles.
DOI:10.1007/978-1-4419-9076-1
Subjects:
Online Access:Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1007/978-1-4419-9076-1
Errata 1: https://swbplus.bsz-bw.de/bsz116488778err.htm
Kapitel 1: https://swbplus.bsz-bw.de/bsz116488778kap.htm
Cover: https://swbplus.bsz-bw.de/bsz116488778cov.jpg
Verlag, Zentralblatt MATH, Inhaltstext: https://zbmath.org/?q=an:1058.62104
Get full text
Author Notes:edited by D. Y. Lin, P. J. Heagerty
Description
Summary:This volume contains a selection of papers presented at the Second Seattle Symposium in Biostatistics: Analysis of Correlated Data. The symposium was held in 2000 to celebrate the 30th anniversary of the University of Washington School of Public Health and Community Medicine. It featured keynote lectures by Norman Breslow, David Cox and Ross Prentice and 16 invited presentations by other prominent researchers. The papers contained in this volume encompass recent methodological advances in several important areas, such as longitudinal data, multivariate failure time data and genetic data, as well as innovative applications of the existing theory and methods. This volume is a valuable reference for researchers and practitioners in the field of correlated data analysis
Physical Description:Online Resource
ISBN:9781441990761
DOI:10.1007/978-1-4419-9076-1